It would be good to update our current Kubeflow example to use 1.0, as well as add a page on the Seldon Docs on "Kubeflow Integration". If possible it would also be good to update it to leverage prepackaged model servers instead of the reusable containers as that is now the way that we're looking to integrate with model training frameworks. Example: https://docs.seldon.io/projects/seldon-core/en

When serving the model locally, a nice swagger documentation page becomes accessible that allows you to send requests to the model by clicking the "Try it out" button.
As part of the swagger specification it is possible to specify the schema the endpoint expects. When doing that, the "Try it out" button will be prefilled with values, so that the API end users can experiment with the endpoint more

As suggested by CK users, I started working on Sphinx-based documentation for CK:

• https://github.com/ctuning/ck/tree/master/docs
• https://cKnowledge.io/docs

I will continue updating it when I have more resources.

In the meantime, please feel free to add your own notes particularly about how to add and use new CK components!

Also, feel free to suggest how to reorganize it and which

We are currently deploying to ACI using the devops extension and yml files based off of this repo. There is not an example of how to set environment variables to pickup from our scoring script. In the running container we can see this one set (also appears in a json config from [this sample](https://docs.microsoft.com/bs-latn-ba/azure/machine-learning/reference-azure-machine-learning-cli#inferen

Issue Checklist:

• Descriptive title
• Completed sections below

Problem Description

Beyond the CLI, it is not obvious how someone can use Blurr in their setup

Solution Proposal

Provide an example of how to setup for common environments - Spark, Kafka.

Impact on current behavior

Better documentation!

今だとジョブ投入で初めて設定不備が分かるので、手戻りが大きいのでkamonohashiデプロイ前に流すスクリプトでチェックする

/kind feature

Description:
[A clear and concise description of what your proposal. What problem does it solve?]

Tracking issues for list of samples for kfp-tekton.

• kubeflow-e2e #116
• flip-coin #117
• Watson ML
• [python to containerOp](https://github.com/kubeflow/pipelines/tr

Add more details in the README:

• Show users how to get to the actions tab
• Show users how to create secrets, if a service principle has already been created
• Add a comment that mentions that the first run takes a little longer and mention why it is taking so long